PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-23 10:22:24.815059+00:00 (UTC)
In US/Central Time, this is 2024-05-23 05:22:24.815059-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/074bb3e7e8656782a6e0588a8aa868b615263b61f9a741dc4f4c3f109f178bce.png
We are just generating a random time serie here.
../_images/25a3591883197fb106dfbd0047adba9ee4e9dd63ca7681849f897ccb86ba2511.png
../_images/75355a7de952489a941e2356df8752c3a823d3e1b241488781fbcde382c90b8d.png